Kathryn M. Roeder | |
---|---|
Nationality | American |
Alma mater | University of Idaho Pennsylvania State University |
Scientific career | |
Fields | Statistics |
Institutions | Yale University Carnegie Mellon University |
Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. [1] Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, [2] where she leads a project focused on discovering genes associated with autism. [3] [4]
Roeder did her undergraduate studies at the University of Idaho, where she graduated in 1982 with a bachelor's degree in wildlife resources. [2] Roeder worked as a biologist for a year in the Pacific Northwest before returning to academia for graduate studies in statistics. [3] She completed her Ph.D. in 1988 at Pennsylvania State University; [2] [3] her dissertation, supervised by Bruce G. Lindsay, was Method of Spacings for Semiparametric Inference. [5]
Roeder joined the faculty of Yale University in 1988 and earned tenure there. She remained at Yale until 1994, when she moved to the statistics department at Carnegie Mellon. She added a second appointment in computational biology in 1998, and served a term as Vice Provost for Faculty from 2015 to 2019. [2]
In 1995 Roeder became an elected member of the International Statistical Institute. [2] She was elected a Fellow of the American Statistical Association in 1996. [6] In 1997 she received two major awards from the Committee of Presidents of Statistical Societies: the Presidents' Award "in recognition of outstanding contributions to the profession of statistics", [7] and the George W. Snedecor Award, for her work in biometry with Bruce Lindsay and Raymond J. Carroll. [8] In the same year she was elected as a fellow of the Institute of Mathematical Statistics, and in 1999 gave the Medallion Lecture of the Institute of Mathematical Statistics. [2] She won the Janet L Norwood Award for outstanding achievement by a woman in the statistical sciences in 2013. [9] Roeder was elected to the National Academy of Sciences and as a fellow [10] of the American Association for the Advancement of Science (AAAS) in 2019. She was awarded the 2020 R. A. Fisher Lectureship. [1]
Roeder is married to Bernard J. Devlin, a psychiatrist at the University of Pittsburgh, and has worked with him on research involving genetics and autism. [4]
Lenore Carol Blum is an American computer scientist and mathematician who has made contributions to the theories of real number computation, cryptography, and pseudorandom number generation. She was a distinguished career professor of computer science at Carnegie Mellon University until 2019 and is currently a professor in residence at the University of California, Berkeley. She is also known for her efforts to increase diversity in mathematics and computer science.
Stephen Elliott Fienberg was a professor emeritus in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the Annual Review of Statistics and Its Application and of the Journal of Privacy and Confidentiality.
The COPSS Presidents' Award is given annually by the Committee of Presidents of Statistical Societies to a young statistician in recognition of outstanding contributions to the profession of statistics. The COPSS Presidents' Award is generally regarded as one of the highest honours in the field of statistics, along with the International Prize in Statistics.
Diane Marie Lambert is an American statistician known for her work on zero-inflated models, a method for extending Poisson regression to applications such as the statistics of manufacturing defects in which one can expect to observe a large number of zeros. A former Bell Labs Fellow, she is a research scientist for Google, where she lists her current research areas as "algorithms and theory, data mining and modeling, and economics and electronic commerce".
The COPSS Distinguished Achievement Award and Lectureship is a very high recognition of achievement and scholarship in statistical science that recognizes the highly significant impact of statistical methods on scientific investigations. The award was funded in 1963 by the North American Committee of Presidents of Statistical Societies (COPSS) "to honor both the contributions of Sir Ronald Aylmer Fisher and the work of a present–day statistician for their advancement of statistical theory and applications." The COPSS Starting in 1964, the Distinguished Lecture is given at the Joint Statistical Meetings in North America and is subsequently published in a statistics journal. The lecturer receives a plaque and a cash award of US$2,000. It is given every year if a nominee considered eligible and worthy is found, which one was in all but five years up to 1984, and in all years since. In June 2020, the name of the award was changed to its current name after discussions concerning Fisher's controversial views on race and eugenics.
Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.
Larry Alan Wasserman is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.
Raymond James Carroll is an American statistician, and Distinguished Professor of statistics, nutrition and toxicology at Texas A&M University. He is a recipient of 1988 COPSS Presidents' Award and 2002 R. A. Fisher Lectureship. He has made fundamental contributions to measurement error model, nonparametric and semiparametric modeling.
Geraldine Lee Richmond is an American chemist and physical chemist who is serving as the Under Secretary of Energy for Science in the US Department of Energy. Richmond was confirmed to her DOE role by the United States Senate on November 5, 2021. Richmond is the Presidential Chair in Science and professor of chemistry at the University of Oregon (UO). She conducts fundamental research to understand the chemistry and physics of complex surfaces and interfaces. These understandings are most relevant to energy production, atmospheric chemistry and remediation of the environment. Throughout her career she has worked to increase the number and success of women scientists in the U.S. and in many developing countries in Africa, Asia and South America. Richmond has served as president of the American Association for the Advancement of Science, and she received the 2013 National Medal of Science.
Kathryn Mary Chaloner was a British-born American statistician.
Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
The Ray and Stephanie Lane Computational Biology Department (CBD) is one of the seven departments within the School of Computer Science at Carnegie Mellon University in Pittsburgh, Pennsylvania, United States. Now situated in the Gates-Hillman Center, CBD was established in 2007 as the Lane Center for Computational Biology by founding department head Robert F. Murphy. The establishment was supported by funding from Raymond J. Lane and Stephanie Lane, CBD officially became a department within the School of Computer Science in 2009. In November 2023, Carnegie Mellon named the department as the Ray and Stephanie Lane Computational Biology Department, in recognition of the Lanes' significant investment in computational biology at CMU.
Jessica K. Hodgins is an American roboticist and researcher who is a professor at Carnegie Mellon's Robotics Institute and School of Computer Science. Hodgins is currently also Research Director at the Facebook AI Research lab in Pittsburgh next to Carnegie Mellon. She was elected the president of ACM SIGGRAPH in 2017. Until 2016, she was Vice President of Research at Disney Research and was the Director of the Disney Research labs in Pittsburgh and Los Angeles.
Peyman Givi is a Persian-American rocket scientist and engineer.
Marie Davidian is an American biostatistician known for her work in longitudinal data analysis and precision medicine. She is the J. Stuart Hunter Distinguished Professor of Statistics at North Carolina State University. She was president of the American Statistical Association for 2013.
Bernard J. Devlin is an American psychiatrist who is Professor of Psychiatry and Clinical and Translational Science at the University of Pittsburgh. An expert on statistical and psychiatric genetics, he is a fellow of the statistics section of the American Association for the Advancement of Science. He is also a member of the American Society of Human Genetics, the Genetics Society of America, and the International Society for Autism Research. Before joining the faculty of the University of Pittsburgh, he worked at the Yale School of Medicine, where he conducted research with Neil Risch on the utility of DNA tests. He is married to Kathryn Roeder, a professor at Carnegie Mellon University, with whom he often collaborates on research. Topics that Devlin and Roeder have studied together include the genetic basis of autism. Devlin and Roeder have a daughter, Summer.
Genomic control (GC) is a statistical method that is used to control for the confounding effects of population stratification in genetic association studies. The method was originally outlined by Bernie Devlin and Kathryn Roeder in a 1999 paper. It involves using a set of anonymous genetic markers to estimate the effect of population structure on the distribution of the chi-square statistic. The distribution of the chi-square statistics for a given allele that is suspected to be associated with a given trait can then be compared to the distribution of the same statistics for an allele that is expected not to be related to the trait. The method is supposed to involve the use of markers that are not linked to the marker being tested for a possible association. In theory, it takes advantage of the tendency of population structure to cause overdispersion of test statistics in association analyses. The genomic control method is as robust as family-based designs, despite being applied to population-based data. It has the potential to lead to a decrease in statistical power to detect a true association, and it may also fail to eliminate the biasing effects of population stratification. A more robust form of the genomic control method can be performed by expressing the association being studied as two Cochran–Armitage trend tests, and then applying the method to each test separately.
Robert E. Kass is the Maurice Falk Professor of Statistics and Computational Neuroscience in the Department of Statistics and Data Science, the Machine Learning Department, and the Neuroscience Institute at Carnegie Mellon University.
Michael David Escobar is an American biostatistician who is known for Bayesian nonparametrics, mixture models.
Jeanne M. Van Briesen is an American civil engineer who is Vice Provost and the Duquesne Light Company Professor at Carnegie Mellon University. Her research considers the realization of sustainable natural and engineered water systems. She is a Fellow of the American Society of Civil Engineers, Environmental and Water Resources Institute, Association of Environmental Engineering and Science Professors and American Association for the Advancement of Science.